Monday – Classes from 09:30 to 17:30


        Introduction to cartography and GIS


        Spatial data types: vector, raster and beyond


        Obtaining spatial data: online data sources


        Introduction to GIS with R: available packages


        Importing and plotting spatial data in R


        Mapping land cover, climate, human pressure, biodiversity


        Colour palettes for maps


Tuesday – Classes from 09:30 to 17:30


        Working with GPS coordinates


        Generating spatial data


        Data features and geometries


        Map projections and coordinate systems


        Spatial scale: resolution and extent


        Spatial data attributes



Wednesday – Classes from 09:30 to 17:30


        Converting plain data to spatial data


        Mapping data and attributes from a database


        Spatial database operations: join, merge, filter, subset, select by attribute or by location, summarize, calculate new attributes, plot, map


        Overlaying and combining spatial data


        Introduction to spatial analysis


Thursday – Classes from 09:30 to 17:30


        Vector GIS operations: buffer, merge, dissolve, intersect, unite, select, calculate size, vector geometry operations


        Raster GIS operations: rasterize, stack, crop, mask, merge, distance surface, map algebra, aggregate, disaggregate, resample, extract, calculate zonal statistics


        Converting between vector and raster data


        Spatial data interpolation


        Exporting maps and spatial data from R


Friday – Classes from 09:30 to 17:30


        Assisted work on a spatial project of each student’s choice, either with their own data or with provided data


        Student presentations


         Final discussion